Category: Cognitive Services

Off to start another course for Pluralsight. This time its Designing an Intelligent Edge in Microsoft Azure. If you would like to check out any of my other courses, visit my author’s profile. The new course will cover the following topics:

Abstract

This course will teach you how to create applications using Cognitive Services: Speech to Text. With it, your applications are more accessible and easier to use with a natural user interface.

Description

Creating and integrating advanced artificial intelligence into any application is a monumental task for most developers. In this course, Microsoft Azure Cognitive Services: Speech to Text SDK, you will gain the ability to create applications with Cognitive Services: Speech to Text. First, you will learn how to use the C# SDK. Next, you will discover the extensibility and customization options. Finally, you will explore how to integrate with Azure Functions and batch processing. When you are finished with this course, you will have the skills and knowledge of Cognitive Services: Speech to Text needed to integrate advanced artificial intelligence into any application.

On May 6th I will be interviewed by The 6 Figure Developer. Topics of discussion are: Azure, Cognitive Services, and IoT. Once the interview is complete I will post a link here or on my other social media sites.

AI on the Edge

The next evolution in cloud computing is a smarter application not in the cloud. As the cloud has continued to evolve, the applications that utilize it have had more and more capabilities of the cloud. This presentation will show how to push logic and machine learning from the cloud to an edge application. Afterward, creating edge applications which utilize the intelligence of the cloud should become effortless.

I am creating a new course or Pluralsight titled – Microsoft Azure Cognitive Services: Speech to Text SDK. If you would like to check out my other courses, they can be found in my author’s profile. Here is the breakdown for the course:

Audience Profile

This course targets software developers who are looking to get started with Microsoft Azure Cognitive Services: Speech to Text API to build modern AI solutions and want to get started building an AI solution with a simple REST interface and a robust set of device SDKs.

Abstract

With AI becoming more and more ubiquitous, it is important to quickly and easily integrate with AI services. This course will show how to create modern applications using Microsoft Azure Cognitive Services: Speech to Text API and SDKs.

Prerequisites

This course assumes viewers are familiar with C# and understands REST APIs and JSON.

In this course, you will gain a foundational knowledge of the Text to Speech API that will help you move forward with your overall understanding of the Microsoft Cognitive Services Suite.

Long description:

With AI becoming more and more ubiquitous in application development, it is important to quickly and easily integrate intelligence into your application. In this course, Microsoft Azure Cognitive Services: Text to Speech API, you will learn how to understand, configure, and utilize the Text to Speech API. First, you will discover how to use out of the box voices. Next, you will explore how to use machine learning-based voices in your app. Finally, you will learn how to create and use custom voices for your application and brand. When you are finished with this course, you will have a foundational knowledge of the Text to Speech API that will help you move forward with your overall understanding of the Microsoft Cognitive Services Suite.

I’m excited to announce that I am authoring another course for Pluralsight. This course targets software developers who are looking to get started with Microsoft Azure Cognitive Services: Text to Speech API to build modern AI solutions and want to get started building an AI solution with a simple REST interface. This course continues from the other Cognitive Services courses created and being created for the Cognitive Services track.

Abstract

With AI becoming more and more ubiquitous, it is important to quickly and easily integrate with AI services. This course will show how to create modern applications using Microsoft Azure Cognitive Services: Text to Speech API with JavaScript, C#, Java, C++, and Python.

Prerequisites

This course assumes viewers are familiar with C# or Java or JavaScript or Python or C++ and understands REST APIs and JSON.

Description

Contoso is an insurance company that has decided to integrate text to speech for multiple consumer facing applications. This course will take a look at utilizing the following features of Cognitive Services – Text to Speech API:

Alternative Device Interfaces and Machine Learning

In this presentation, we will look at the how users interface with machines without the use of touch. These different types of interaction have their benefits and pitfalls. To showcase the power of these user interactions we will explore: Voice commands with mobile applications, Speech Recognition, and Computer Vision. After this presentation, attendees will have the knowledge to create applications that can utilize voice, video, and machine learning.

Alternative Device Interfaces and Machine Learning

Abstract

In this presentation, we will look at the how users interface with machines without the use of touch. These different types of interaction have their benefits and pitfalls. To showcase the power of these user interactions we will explore: Voice commands with mobile applications, Speech Recognition, and Computer Vision. After this presentation, attendees will have the knowledge to create applications that can utilize voice, video, and machine learning.

Description

Users use voice (Alexa, Cortana, Google Now) or video as a mode of interaction with applications. More than a fad, this is a natural interface for users and is becoming more and more common with the ever-decreasing size of hardware.

Different types of interaction have their benefits and pitfalls. To showcase the power of these user interactions we will explore: Voice commands with two app types: UWP and Xamarin Forms (iOS and Android). Speech Recognition with Cognitive Services: Verifying the speaker with Speaker Recognition API. Computer Vision with Cognitive Services: Verifying a user with Face API.

By utilizing UWP, Xamarin, and Cognitive services; a device with the ultimate in customization for user interactions will be created. Come and see how!